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Data X:
103.1 98.6 98.1 98.6 100.6 98 101.1 98 103.1 106.8 111.1 106.8 95.5 96.6 93.3 96.7 90.5 100.1 100 100.2 90.9 107.7 108 107.7 88.8 91.5 70.4 92 90.7 97.8 75.4 98.4 94.3 107.4 105.5 107.4 104.6 117.5 112.3 117.7 111.1 105.6 102.5 105.7 110.8 97.4 93.5 97.5 107.2 99.5 86.7 99.9 99 98 95.2 98.2 99 104.3 103.8 104.5 91 100.6 97 100.8 96.2 101.1 95.5 101.5 96.9 103.9 101 103.9 96.2 96.9 67.5 99.6 100.1 95.5 64 98.4 99 108.4 106.7 112.7 115.4 117 100.6 118.4 106.9 103.8 101.2 108.1 107.1 100.8 93.1 105.4 99.3 110.6 84.2 114.6 99.2 104 85.8 106.9 108.3 112.6 91.8 115.9 105.6 107.3 92.4 109.8 99.5 98.9 80.3 101.8 107.4 109.8 79.7 114.2 93.1 104.9 62.5 110.8 88.1 102.2 57.1 108.4 110.7 123.9 100.8 127.5 113.1 124.9 100.7 128.6 99.6 112.7 86.2 116.6 93.6 121.9 83.2 127.4 98.6 100.6 71.7 105 99.6 104.3 77.5 108.3 114.3 120.4 89.8 125 107.8 107.5 80.3 111.6 101.2 102.9 78.7 106.5 112.5 125.6 93.8 130.3 100.5 107.5 57.6 115 93.9 108.8 60.6 116.1 116.2 128.4 91 134 112 121.1 85.3 126.5 106.4 119.5 77.4 125.8 95.7 128.7 77.3 136.4 96 108.7 68.3 114.9 95.8 105.5 69.9 110.9 103 119.8 81.7 125.5 102.2 111.3 75.1 116.8 98.4 110.6 69.9 116.8 111.4 120.1 84 125.5 86.6 97.5 54.3 104.2 91.3 107.7 60 115.1 107.9 127.3 89.9 132.8 101.8 117.2 77 123.3 104.4 119.8 85.3 124.8 93.4 116.2 77.6 122 100.1 111 69.2 117.4 98.5 112.4 75.5 117.9 112.9 130.6 85.7 137.4 101.4 109.1 72.2 114.6 107.1 118.8 79.9 124.7 110.8 123.9 85.3 129.6 90.3 101.6 52.2 109.4 95.5 112.8 61.2 120.9 111.4 128 82.4 134.9 113 129.6 85.4 136.3 107.5 125.8 78.2 133.2 95.9 119.5 70.2 127.2 106.3 115.7 70.2 122.7 105.2 113.6 69.3 120.5 117.2 129.7 77.5 137.8 106.9 112 66.1 119.1 108.2 116.8 69 124.3 110 126.3 75.3 134.3 96.1 112.9 58.2 121.7 100.6 115.9 59.7 125
Names of X columns:
intermediare totaal duurzaam niet-duurzaam
Type of Correlation
pearson
spearman
kendall
Chart options
Title:
R Code
panel.tau <- function(x, y, digits=2, prefix='', cex.cor) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) rr <- cor.test(x, y, method='kendall') r <- round(rr$p.value,2) txt <- format(c(r, 0.123456789), digits=digits)[1] txt <- paste(prefix, txt, sep='') if(missing(cex.cor)) cex <- 0.5/strwidth(txt) text(0.5, 0.5, txt, cex = cex) } panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'tau',1,TRUE) a<-table.element(a,'p-value',1,TRUE) a<-table.row.end(a) n <- length(y[,1]) n cor.test(y[1,],y[2,],method='kendall') for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste('tau(',dimnames(t(x))[[2]][i]) dum <- paste(dum,',') dum <- paste(dum,dimnames(t(x))[[2]][j]) dum <- paste(dum,')') a<-table.element(a,dum,header=TRUE) r <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,r$estimate) a<-table.element(a,r$p.value) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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